Congratulations to Dr. Chun-Nan Hsu from the dkNET team for publishing a new paper in Computing in Science & Engineering

Congratulations to Dr. Chun-Nan Hsu from the dkNET team for publishing a new paper in the special issue of Computer in Science & Engineering (CiSE) on Software and Data Citation! The paper provides an overview of Research Resource Identifiers (RRIDs), persistent identifiers for research resources, used for digital artifacts such as software tools, databases and web portals. Dr. Hsu et al. analyzed the use of RRIDs for digital resource identification, and compared it to what can be achieved by natural language processing. Check out this paper to learn the advantages of using RRIDs on digital resource citation!

Here is the abstract from the Computer in Science & Engineering:

"Comparing the Use of Research Resource Identifiers and Natural Language Processing for Citation of Databases, Software, and Other Digital Artifacts

Abstract

The Research Resource Identifier (RRID) was introduced in 2014 to better identify biomedical research resources and track their use across the literature, including key digital resources such as databases and software. Authors include an RRID after the first mention of any resource used. Here, we provide an overview of RRIDs and analyze their use for digital resource identification. We quantitatively compare the output of our RRID curation workflow with the outputs of automated text mining systems used to identify resource mentions in text. The results show that authors follow RRID reporting guidelines well, and that our natural language processing based text mining was able to identify nearly all of the resources identified by RRIDs as well as thousands more. Finally, we demonstrate how RRIDs and text mining can complement each other to provide a scalable solution to digital resource citation.

Published in: Computing in Science & Engineering ( Volume: 22 , Issue: 2 , March-April 2020 )

DOI: 10.1109/MCSE.2019.2952838"

Source and download the paper at https://ieeexplore.ieee.org/document/8897047